将高血压患者 CT 冠状动脉造影的钙化评分作为预测冠状动脉疾病的标准

Tserioti Eleni, Chana Harmeet, Salmasi Abdul-Majeed
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引用次数: 0

摘要

引言高血压是冠状动脉计算机断层扫描(CTCA)发现的冠状动脉疾病(CAD)的最强独立预测因子。本研究对转诊接受 CTCA 检查的高血压患者进行了 CTCA 评估的冠状动脉钙化评分(CCS)研究。研究方法在排除 TAVI 和移植物评估患者后,对 2020 年 7 月至 11 月间接受 CTCA 的 410 名连续患者的个人电子健康记录进行了审查,这些患者的平均年龄为 58.7 岁。记录的风险因素包括吸烟(38%)、高脂血症(33%)、阳性家族史(22%)、全身性高血压(48%)、糖尿病(30%)和男性(46%)。转诊标准、种族、心脏病和既往病史均有记录。根据 CAD 的严重程度将患者分为四组:无、轻度、中度和重度疾病(如 CTCA 所示)。比较了高血压和非高血压患者每个 CAD 类别的平均 CCS。根据受影响的冠状动脉数量和每条动脉的 CAD 严重程度,进一步比较了平均 CCS。结果:在所有 CTCA 报告中,200 份(48.8%)CCS 被解释为极低风险类别,80 份(19.5%)为低风险,58 份(14.1%)为中度风险,23 份(5.6%)为中度高风险,49 份(12.0%)为高风险。轻度、中度和重度 CAD 的平均 CCS 和 CAD 严重程度之间存在明显差异(p = 0.015 和 p <0.001)。比较高血压患者和非高血压患者在四个 CAD 严重程度类别中的 CCS,发现严重 CAD 类别的平均 CCS 有显著差异(p = 0.03)。有胸痛的高血压患者与无胸痛的高血压患者之间的 CCS 没有明显差异。受影响冠状动脉数量越多,平均 CCS 越高,高血压和非高血压受试者之间受影响动脉数量的 CCS 差异越大。在比较中度-重度受影响冠状动脉的平均 CCS 时也观察到类似的结果。结论是CCS较高的高血压患者与较高的严重CAD发病率相关,与胸痛的存在无关。这些结果表明,将 CCS 纳入 CT 血管造影术中的 CAD 检查可能会成为一种强有力的辅助手段,为评估高血压患者的冠状动脉疾病进展提供另一种范例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calcium Scoring on CT Coronary Angiography in Hypertensive Patients as a Criterion for the Prediction of Coronary Artery Disease
Introduction: Hypertension is the strongest independent predictor of Coronary Artery Disease (CAD) identified by Computed tomography of coronary arteries (CTCA). In this study, CTCA-assessed Coronary Calcium Scoring (CCS) was studied in hypertensive subjects referred for CTCA. Methods: After excluding TAVI and graft assessment patients, the individual electronic health records of 410 consecutive patients who underwent CTCA between July and November 2020, were reviewed with a mean age of 58.7 years. Risk factors were recorded including smoking (38%), hyperlipidaemia (33%), positive family history (22%), systemic hypertension (48%), diabetes mellitus (30%), and male gender (46%). Referral criteria, ethnicity, cardiac, and past medical history were recorded. Patients were stratified into four groups according to CAD severity: absent, mild, moderate, and severe disease, as seen on CTCA. The mean CCS for each CAD category was compared between hypertensive and non-hypertensive patients. Mean CCS were further compared according to the number of coronary arteries affected and the severity of CAD in each artery. Results: Out of all CTCA reports, 200 (48.8%) CCS were interpreted in the very low-risk category, 80 (19.5%) low risk, 58 (14.1%) moderate risk, 23 (5.6%) moderately high risk and 49 (12.0%) high risk. A significant difference in mean CCS and CAD severity was observed between mild, moderate, and severe CAD (p = 0.015 and p < 0.001). Comparison of CCS between hypertensives and non-hypertensives, across the four CAD severity categories, revealed a significant difference in mean CCS in the severe CAD category (p = 0.03). There was no significant difference in the CCS between hypertensives with chest pain and hypertensives without chest pain. A higher number of affected coronary arteries was associated with a higher mean CCS and a significant difference in CCS was observed between hypertensive and non-hypertensive subjects for the number of arteries affected. Similar results were observed when comparing mean CCS in moderate-severely affected coronary arteries. Conclusion: Hypertensive patients with a high CCS were associated with a higher incidence of severe CAD independent of the presence of chest pain. These results suggest that the incorporation of CCS in the investigation of CAD on CT angiography may pose a powerful adjunct in proposing an alternative paradigm for the assessment of patients with hypertension, in the progress of coronary artery disease.
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